TOTAL VOLUME:
$134.2b
24H VOL:
$126,324,530
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,434,646,834
406,019
Markets across
30,401
events
MATCHED EVENTS:
2,689
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jun 3, 11:31 PM EST
Kalshi
A professional basketball game will be played, with attention to the free throw production of two players from opposing teams across various thresholds throughout the full contest.
Prediction market odds on Kalshi often diverge from traditional sportsbook lines because they reflect real-time crowd sentiment and continuous trading rather than fixed odds set by oddsmakers. Sportsbooks adjust lines to manage liability, while prediction markets aggregate beliefs from many traders. For this free throws made matchup, comparing Kalshi prices to major sportsbooks can reveal where the crowd sees edge or mispricing relative to professional bookmakers.
On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, the free throws made market is priced as a binary or range contract reflecting the total number of free throws made by both teams combined or by a specific team. Traders buy and sell shares at prices between 0 and 100 cents, with the price representing the crowd's estimated probability of the outcome. As new information emerges—injury reports, lineup changes, or pre-game momentum—the price adjusts continuously to reflect updated expectations.
The market resolves on Jun 4, 2026, after the game concludes. The outcome is determined by the official final free throws made count recorded by the NBA. Once the game ends and official statistics are confirmed, the contract settles based on whether the actual total or team free throws made falls within or matches the specified range or threshold defined at market creation.
Key catalysts include roster changes, injury announcements to star players, recent team free throw shooting trends, and referee assignments known for calling fouls at different rates. Pre-game reports on player conditioning, foul trouble history, and coaching adjustments also influence expectations. Game-day factors like crowd energy, early foul calls, and momentum swings during the first half can shift trader sentiment and move prices as the event approaches and unfolds.